Call Us:

Call Us:

About Course:

Python-for-Data-Science

Our Data Science with Python training course is aimed at analysts and software developers who need to create analysis and data visualization solutions using the key functions and libraries available in and around Python. You will benefit from extensive hands-on labs, delivered by an expert Data Science practitioner who can guide you from the basics of data wrangling with Python to using sophisticated libraries to visualize and make predictions based on your data. The Data Science with Python training course comprises two modules - Data Analysis with Python, and Machine Learning with Python, which can be taken individually - let us know if you would like to split your attendance of each module.

Curriculum

It's a study of all information, where we represents and turns into valuable resource for business and their strategies.

Data Mining

Large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.

Identifying emergent trends and opportunities for future client growth and development

Course Overview
In this curriculum, you will learn about basic concepts of Python, how to use Python both interactively and through a script. You can Create your first variables and acquaint yourself with Python's basic data types, powerful ways to store and manipulate data as well as cool data science tools to start your own analyses. This Course will also help you in master of Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science.

Introduction to Python for Data Science Training Course Curriculum

Introduction to Data science

Basics of Data Science

What is data science

AI vs DS vs Machine learning

Fields of data science

Applications of Data Science

Big Data

Definition of Big data

Applications of Big data

Hadoop and Spark

Natural Language Processing

Definition of NLP

Application of NLP

Tools and Language

Machine learning

Definition of Machine learning

Types of Machine Learning

Applications of Machine learning

Tools and Languages

NoSQL Data bases

Definition

SQL vs NoSQL Databases

NoSQL databases tools

Search Engine technologies

Python Basics

Installation

Anaconda

Environment creation

Pycharm

►Interpreter

►Data types in Python

►String data types

►List

►Dictionary

►Tuple

►Set

►Functions

►Classes

OOPS

Inheritance

Encapsulation

Abstraction

Exceptional handling

Numpy, Pandas

Numpy Tutorial

Pandas Tutorial

Natural Language Processing- Overview

Basics of NLP

Applications of NLP

Tokenization

Stopwords

Stemming and lemmatization

Part of Speech tagging

Named entity recognition

Custom NER system using OpenNLP (java)

Phrase Handling Application

Sentiment Analysis Application

Feature Extraction process

True/False model

Count Vectorizer

TF-IDF Vectorizer

►Recommendation System Application

Web Crawling

Scrapy Introduction

Xpath Introduction

Crawling Application

Machine learning

Basics of Machine Learning

Types of Machine Learning Algorithms

►Supervised

Classification

Logistic Regression

K Nearest Neighbors

SVM

Decision Tree

Random Forest

Gradient Boosting

Naïve Bayes

Regression

Linear Regression

Polynomial Regression

SVR

Decision Tree Regressor

Random Forest Regressor

►Unsupervised

Clustering

K Means Clustering

Hierarchical Clustering

Machine Learning Model Evaluation

Backward elimination Process

P value

R Squared

Class Delievery

Live Interactive classes with expert

Delievery Methodology

We are using an experiential delievering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course

Who should Learn Python for Data Science?

Any IT experienced Professional

Who wants to make a career in python web development

Software automation

Data Analytics

Fresh Graduates

Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ B.Com College Students in any stream

Prerequisite to learn Python for Data Science

This certification training course does not presume or require any prior knowledge on Python for Data Science.
To understand the concepts, useful to know basic knowledge of application. We are recommending that students have following:

Basic understanding of Computer Programming Languages

Delivery Methodology used to deliver the Python for Data Science

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Python for Data Science FAQ

Question: Can I attend the Demo session before enrollment?

Answer: Yes, you may attend the Demo class before enrollment for training Quality Evaluation. You can also Interact with a trainer as one to one session for a specific requirement or discussion

Question: Can you schedule the training based upon my availability?

Answer: Yes, we need to discuss it with a trainer, accordingly, we can schedule training at a convenient time.

Question: How I can pay for the course?

Answer: You can pay the fee or enroll yourself via payment gateway through the course page, make an online payment using various options.

Question: What if I missed any class?

Answer: BISP has a missing class policy. If you missed any session, we will be sharing a recorded session. However, you may retake whole training multiple times within 6 month period but the trainer is the same.

Question: Is there any live project training along with regular training?

Answer: Our training curriculum includes real-time scenarios and lives project working module & the trainer explains every topic with examples. If you have any issue or you are stuck in any scenario the trainer will explain end-to-end.

Question: What about certification preparation and guidance?

Answer: BISP technical faculty assist & guide you completely for certification and preparation. We ensure you will get certified easily after our training.

Question: Who is the trainer & about his experience?

Answer: All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo We also ensure that only those trainers with a high alumni rating continue to train for us.

Question: Do you provide Job support?

Answer: Yes, we provide Job support services, but the cost structure is different and fixed.
For more details: Just give us a call at: +91 769-409-5404 & +1 786-629-6893
You can also write to us: support@bisptrainings.com

Certificate

Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.